MLOps Engineer

Location: Noida, IN

Machine Learning Operations (MLOps) Engineer


For over 50 years, we have worked closely with investment and asset managers to become the world’s leading provider of integrated investment management solutions. We are 2,800+ colleagues with a broad range of nationalities, educations, professional experiences, ages, and backgrounds in general.

SimCorp is an equal opportunity employer. We are committed to building a culture where diverse perspectives and expertise are integrated in our everyday work. We believe in the continual growth and development of our employees, so that we can provide best-in-class solutions to our clients.

While striving to deliver client value, we believe it is vital to consider our people and our planet in every business decision we make. Acting responsibly is not optional. It is essential.


In SimCorp, we help some of the biggest financial institutions in the world be successful by simplifying their accounting, operations, and investments. We do this through IT systems, processes, and financial knowledge. High quality, performing, secure, and cost-effective software is at the core of what we do. To build, maintain and operate this software, engineers are essential to us.  

You will be working with a team of about 7 people located in Noida, India and Copenhagen, Denmark. The team functions as a center of excellence for artificial intelligence (AI), providing knowledge and guidelines to other teams, as well as working hands on implementing and operating solutions with AI.


We work team-based, so your primary responsibility is as a team member. You need to make sure the team delivers on its commitments, that it’s a good place to work for you and your teammates, and that it continuously improves.

Daily tasks are for example:

  • Setting up ML specific pipelines mostly using Azure Machine Learning as a platform, e.g. setting up data pipelines, deploying models, and monitoring model performance.
  • Getting projects from an experimental to a production stage
  • Integrating models in different software solutions on premise and in multi-tenant cloud. Most of the modules we need to integrate with are written in C# or Angular.
  • Understand client requirements, discuss solutions, implement and test the chosen solutions, and support them.


Most importantly, you can see yourself contributing and thriving in the position described above. How you gained the skills needed for doing that is less important. We expect you to be good at several of the following and be able to - and interested in - learning the rest.

  • Taking ownership and having a proactive mindset
  • Putting ML in production environments
  • Using Azure for Deployment, Azure DevOps pipelines, App Services etc
  • Experience with Docker, Kubernetes
  • Tools for ML tracking like MLFlow

Good English skills are mandatory as it is our corporate language and is used in all communications. 


Competitive salary, bonus scheme, and pension are essential for any work agreement. However, in SimCorp, we believe we can offer more. Therefore, in addition to the traditional benefit scheme, we provide an excellent work & private life balance e.g. through flexible work hours, and a hybrid workplace model. On top of that, we have IP sprints where you have 3 weeks per quarter you can spend on mastering your skills as well as contributing to the company development. There is never just one route - we practice an individual approach to professional development to support the direction you want to take.


Please click below to apply or get in touch with ( to learn more about the vacancy and what SimCorp offers regarding salary, benefits, and perks.

Applications are continuously assessed, so please send your CV in English as soon as possible. If you are interested in being a part of SimCorp but are not sure this role is the right fit, submit your CV anyway. SimCorp is on an exciting growth journey, and our Talent Acquisition Team is ready to help you discover the right role for you. The approximate time to consider your CV is three weeks.

We are eager to continually improve our talent acquisition process and make everyone’s experience positive and valuable. Therefore, during the process we will ask you to provide your feedback, which is highly appreciated.